{"id":"W2129529709","doi":"10.12927/hcq.2015.24115","title":"Emergency Department Overcrowding and Long Wait Times: Taking a Corporate Approach to Improving Patient Flow","year":2014,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Overcrowding; Emergency department; Medical emergency; Medicine; Best practice; Operations management; Emergency medicine; Nursing; Management; Engineering; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001251765,0.0003115297,0.0004314849,0.0002146624,0.001819991,0.00005386492,0.0001326575,0.0002810384,0.0001083879],"category_scores_gemma":[0.0001898357,0.0002945503,0.00005880702,0.0004108869,0.00002147099,0.0002574146,0.00005310269,0.0005916319,0.0001199265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228429,"about_ca_system_score_gemma":0.0004470402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423572,"about_ca_topic_score_gemma":0.001148623,"domain_scores_codex":[0.995779,0.001057389,0.001153422,0.0007170142,0.0003619256,0.0009312164],"domain_scores_gemma":[0.9976339,0.0001366406,0.0005800712,0.0004917601,0.0004813866,0.000676284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000235934,0.0003626515,0.08590847,0.004561864,0.00006615314,0.00001316983,0.09917656,0.002834728,0.0003406541,0.02996011,0.004544734,0.7719949],"study_design_scores_gemma":[0.00279256,0.006898771,0.1028601,0.001813161,0.00009476877,0.00004458178,0.02871197,0.839752,0.00003121528,0.001606201,0.01313984,0.002254783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7712515,0.00044999,0.2154834,0.004762262,0.001682476,0.003483639,0.00006514136,0.0003207552,0.002500806],"genre_scores_gemma":[0.9610895,0.00003996892,0.03530266,0.002120608,0.0004306433,0.0005641484,0.0001607563,0.00006693126,0.0002247957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8369173,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05703427554233859,"score_gpt":0.3501260393696356,"score_spread":0.293091763827297,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}